- 6+ years of experience in fraud risk management with a robust focus on identity fraud analytics.
- 1 years or more experience in a Data Analyst or Business Analyst role
- Hands-on experience working with large datasets, real-time fraud systems, and analytics platforms.
Technical & Analytics Skills
- Advanced SQL and data querying skills
- Experience with Python, R, or similar analytics languages
- Familiarity with machine learning models (eg, logistic regression, random forest, gradient boosting)
- Experience with fraud rule engines and decision platforms
- Dashboarding and visualization tools (eg, Tableau, Power BI, Looker)
- Knowledge of model monitoring, bias detection, and explainability (eg, SHAP, model governance)
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